mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 15 Oct 2023

118 papers

  1. Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generationDiffusion models → Diffusion foundations and sampling
  2. Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
  3. Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  4. Merging Experts into One: Improving Computational Efficiency of Mixture of ExpertsMixture-of-experts → MoE large language models
  5. Auto-LfD: Towards Closing the Loop for Learning from DemonstrationsOffline RL and imitation learning from data → Robot learning from demonstration
  6. RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-TrainingLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. VLIS: Unimodal Language Models Guide Multimodal Language GenerationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  8. Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal OptimizerMixture-of-experts → MoE large language models
  9. Beyond Segmentation: Road Network Generation with Multi-Modal LLMsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  10. LOVECon: Text-driven Training-Free Long Video Editing with ControlNetDiffusion models → Video generation
  11. Large Vocabulary Spontaneous Speech Recognition for Tigrigna
  12. Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection
  13. Lightweight Knowledge Representations for Automating Data Analysis
  14. Gender-Based Comparative Study of Type 2 Diabetes Risk Factors in Kolkata, India: A Machine Learning Approach
  15. Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data
  16. Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces
  17. A Critical Survey on Fairness Benefits of Explainable AI
  18. Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining
  19. ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models
  20. Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming
  21. On Statistical Learning of Branch and Bound for Vehicle Routing Optimization
  22. Farzi Data: Autoregressive Data Distillation
  23. AEPnP: A Less-constrained EPnP Solver for Pose Estimation with Anisotropic Scaling
  24. Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification
  25. Chinese Painting Style Transfer Using Deep Generative Models
  26. AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
  27. ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context
  28. Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis
  29. Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior
  30. Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
  31. UvA-MT's Participation in the WMT23 General Translation Shared Task
  32. Evaluating Robustness of Visual Representations for Object Assembly Task Requiring Spatio-Geometrical Reasoning
  33. "Reading Between the Heat": Co-Teaching Body Thermal Signatures for Non-intrusive Stress Detection
  34. FiLM: Fill-in Language Models for Any-Order Generation
  35. Prompting Scientific Names for Zero-Shot Species Recognition
  36. Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data
  37. Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers
  38. Deep Reinforcement Learning with Explicit Context Representation
  39. BONES: Near-Optimal Neural-Enhanced Video Streaming
  40. Empirical study of pretrained multilingual language models for zero-shot cross-lingual knowledge transfer in generation
  41. Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis
  42. Integrating feature selection and regression methods with technical indicators for predicting Apple Inc. stock prices
  43. Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia
  44. Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning
  45. Score-Based Methods for Discrete Optimization in Deep Learning
  46. Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
  47. Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship Network
  48. In-Context Learning with Iterative Demonstration Selection
  49. Statistical inference using machine learning and classical techniques based on accumulated local effects (ALE)
  50. Bounding and Filling: A Fast and Flexible Framework for Image Captioning
  51. Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
  52. Federated Multi-Objective Learning
  53. Federated Reinforcement Learning for Resource Allocation in V2X Networks
  54. MERTech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model With Multi-Task Finetuning
  55. Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In during Sparse Matrix Decomposition
  56. Enhancing Stance Classification on Social Media Using Quantified Moral Foundations
  57. XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility
  58. CoCoFormer: A controllable feature-rich polyphonic music generation method
  59. Explaining How a Neural Network Play the Go Game and Let People Learn
  60. Secure and Robust Communications for Cislunar Space Networks
  61. Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
  62. MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning
  63. Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation
  64. VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
  65. Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models
  66. LICO: Explainable Models with Language-Image Consistency
  67. Assessing the Reliability of Large Language Model Knowledge
  68. Comparative Analysis of Optimization Strategies for K-means Clustering in Big Data Contexts: A Review
  69. OAAFormer: Robust and Efficient Point Cloud Registration Through Overlapping-Aware Attention in Transformer
  70. Can LSH (Locality-Sensitive Hashing) Be Replaced by Neural Network?
  71. Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
  72. Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks
  73. AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings
  74. Automated Detection of Cat Facial Landmarks
  75. SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack
  76. FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy
  77. Dynamic Link Prediction for New Nodes in Temporal Graph Networks
  78. Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding
  79. Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology
  80. CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Poses
  81. Worst-Case Analysis is Maximum-A-Posteriori Estimation
  82. Rethinking Relation Classification with Graph Meaning Representations
  83. Pseudo-Bayesian Optimization
  84. MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages
  85. DropMix: Better Graph Contrastive Learning with Harder Negative Samples
  86. CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes
  87. Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation
  88. Prototype-oriented Unsupervised Change Detection for Disaster Management
  89. MoEmo Vision Transformer: Integrating Cross-Attention and Movement Vectors in 3D Pose Estimation for HRI Emotion Detection
  90. New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models
  91. EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
  92. When can transformers reason with abstract symbols?
  93. UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
  94. Large Language Model-Aware In-Context Learning for Code Generation
  95. Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking
  96. Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks
  97. AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation
  98. Domain-Specific Language Model Post-Training for Indonesian Financial NLP
  99. Private Synthetic Data Meets Ensemble Learning
  100. SVM based Multiclass Classifier for Gait phase Classification using Shank IMU Sensor
All 118
  1. Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
  2. FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion
  3. KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models
  4. HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings
  5. Efficient and Effective Deep Multi-view Subspace Clustering
  6. Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
  7. New Advances in Body Composition Assessment with ShapedNet: A Single Image Deep Regression Approach
  8. AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
  9. SGA: A Graph Augmentation Method for Signed Graph Neural Networks
  10. Inference with Mondrian Random Forests
  11. Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering
  12. Spike-based Neuromorphic Computing for Next-Generation Computer Vision
  13. Configuration Validation with Large Language Models
  14. A Partially Supervised Reinforcement Learning Framework for Visual Active Search
  15. Recursively-Constrained Partially Observable Markov Decision Processes
  16. When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
  17. Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems
  18. Generative artificial intelligence for de novo protein design